{"id":"W7028697066","doi":"","title":"Generation and Evaluation of Digital Elevation Model Derived Through Spaceborne Synthetic Aperture Radar Interferometry","year":2007,"lang":"en","type":"other","venue":"Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interferometric synthetic aperture radar; Digital elevation model; Synthetic aperture radar; Coherence (philosophical gambling strategy); Satellite; Interferometry; Radar; Tandem; Earth observation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002495972,0.0006376351,0.0005834674,0.001247185,0.0002567897,0.00009778181,0.0004210147,0.000818243,0.0003146166],"category_scores_gemma":[0.00002534337,0.0007724933,0.0002374772,0.0006827508,0.0005440859,0.0008862568,0.0001176863,0.0004512471,0.00001968507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135086,"about_ca_system_score_gemma":0.0003981422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004299644,"about_ca_topic_score_gemma":0.000002597058,"domain_scores_codex":[0.9974045,0.00007023863,0.000430307,0.0007554347,0.0009341126,0.0004054619],"domain_scores_gemma":[0.9984394,0.0001032633,0.0003242474,0.0006136751,0.0003470994,0.0001723257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004154473,0.001461092,0.0002123739,0.002388909,0.004921059,0.0007540009,0.002277035,0.240877,0.1062525,0.4052099,0.1022846,0.1329461],"study_design_scores_gemma":[0.001179237,0.0001208318,0.00003612012,0.0004810723,0.0009875506,0.0003524842,0.0007067212,0.8582694,0.00547196,0.0006389939,0.1306273,0.001128301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0617549,0.001127499,0.5037408,0.0001653698,0.0003313216,0.001030811,0.0003821123,0.000690649,0.4307765],"genre_scores_gemma":[0.9022442,0.0004174879,0.0843051,0.0000621501,0.0003990162,0.00001612556,0.001030381,0.0003092107,0.01121636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8404893,"threshold_uncertainty_score":0.9994726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299846118812046,"score_gpt":0.2281616913390192,"score_spread":0.2051632301508988,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}